5th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, Zurich, Schweiz

Abbrevation

BDCAT

Link

http://bdcat-conference.org/

City

Zurich

Country

Switzerland

Deadline Paper

2018-08-01

Start Date

2018-12-17

End Date

2018-12-20

Abstract

The IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) is an annual conference series aiming to provide a platform for researchers from both academia and industry to present new discoveries in the broad area of big data computing and applications. The first 4 events were held in London, Cyprus, Shanghai, and Austin. BDCAT 2018 will be held in conjunction with the 11th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2018) in Zurich, Switzerland. Authors are invited to submit original unpublished manuscripts on a broad range of topics related to big data science, computing paradigms, platforms and applications. Topics of interest include, but are not limited to: I. Big Data Science – Big Data Analytics – Data Science Models and Approaches – Algorithms for Big Data – Big Data Search and Information Retrieval Techniques – Data Mining and Knowledge Discovery Approaches – Machine Learning Techniques for Big Data – Big Data Acquisition, Integration, Cleaning, and Best Practices – Big Data and Deep Learning II. Big Data Infrastructures and Platforms – Scalable Computing Models, Theories, and Algorithms – In–Memory Systems and Platforms for Big Data Analytics – Big Data and High Performance Computing – Cyber–Infrastructure for Big Data – Performance Evaluation Reports for Big Data Systems – Storage Systems (including file systems, NoSQL, and RDBMS) – Resource Management Approaches for Big Data Systems – Many–Core Computing and Accelerators III. Big Data Applications – Big Data Applications for Internet of Things – Mobile Applications of Big Data – Big Data Applications for Smart City – Healthcare Applications such as Genome Processing and Analytics – Scientific Application Case Studies on Cloud Infrastructure – Big Data in Social Networks –Data Streaming Applications IV. Big Data Trends and Challenges – Fault Tolerance and Reliability – Scalability of Big Data Systems – Energy–Efficient Algorithms – Big Data Privacy and Security – Big Data Archival and Preservation V. Visualization of Big Data – Visual Analytics Algorithms and Foundations – Graph and Context Models for Visualization – Analytics Reasoning and Sense–making on Big Data – Visual Representation and Interaction – Big Data Transformation, and Presentation